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In this series, we ve examined several different ways to answer queries over data using differential privacy. So far each approach requires changing the way we answer queries - usually by adding noise to the answer - and modifying the tools we would normally use for analyzing data.
What if we want to use existing data analysis tools, but still protect privacy? For example, the marketing department of our pumpkin spice latte company might be accustomed to exporting sales data to a spreadsheet at the end of each month to analyze sales trends using a popular spreadsheet application. They would like to better protect individuals’ privacy, but don’t want to learn or buy new tools.